Job Summary
Key Responsibilities
2. Design, develop, and maintain data pipelines using snowflake, azure data factory (adf), and data bricks to support business requirements.
3. Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data driven solutions.
4. Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
5. Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
6. Collaborate with cross functional teams to integrate data solutions with existing systems and applications.
7. Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.
Skill Requirements
2. Strong experience in azure data factory (adf) for data integration and orchestration.
3. Handson knowledge of data bricks for data engineering, data processing, and machine learning.
4. Ability to design, develop, and optimize complex data pipelines for etl processes.
5. Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
6. Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
7. Strong leadership skills to guide and motivate technical teams towards project delivery and success.
8. Experience in agile methodologies and project management practices for efficient project execution.